Method and system for service provisioning based on multi-tiered networks and resource utilization

ABSTRACT

A method, a device, and a non-transitory storage medium are described in which multi-tiered networks and resource utilization-based provisioning service is provided. A multi-tiered mobile edge computing network that includes multiple mobile edge computing networks that are multi-tiered based on distance from a network edge includes a network device that selects a location to provision an application service for an end device based on a total resource utilization value and a performance metric associated with one or multiple candidate mobile edge computing networks.

BACKGROUND

Multi-access Edge Computing (MEC) (also known as mobile edge computing)is being explored in which core network capabilities (e.g.,computational, storage, etc.) are situated at the network edge toimprove latency and reduce traffic being sent to a core network.Additionally, other technologies, such as cloud computing, softwaredefined networking (SDN), etc., are also being explored to provisionservices and applications to various end devices and end users.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram illustrating an exemplary environment in which anexemplary embodiment of multi-tiered networks and resourceutilization-based provisioning service may be implemented;

FIGS. 2A-2H are diagrams illustrating exemplary processes of exemplaryembodiments of the multi-tiered networks and resource utilization-basedprovisioning service;

FIG. 3 is a diagram of exemplary candidate host network information;

FIG. 4 is a diagram illustrating exemplary components of a device thatmay correspond to one or more of the devices illustrated and describedherein; and

FIG. 5 is a flow diagram illustrating an exemplary process of exemplaryembodiment of the multi-tiered networks and resource utilization-basedprovisioning service.

DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS

The following detailed description refers to the accompanying drawings.The same reference numbers in different drawings may identify the sameor similar elements. Also, the following detailed description does notlimit the invention.

A network should support various use cases, meet various performancemetrics, allow for scalability and flexibility, and so forth. MECservers may provide various services and applications to end deviceswith minimal latency because of their close proximity to the networkedge. However, the network resources of MEC servers are typicallyexpensive due to their limited available resources (e.g., physical,logical, virtual). On the other hand, cloud servers of a datacenter-based cloud network may provide an abundance of network resourcesto support various services and applications but suffer from longnetwork latencies due to their distance from the network edge. In thisregard, there are technological problems associated with satisfyingperformance metric requirements associated with services andapplications as well as efficiently managing the allocation andutilization of network resources responsive to the demands of enddevices.

According to exemplary embodiments, multi-tiered networks and resourceutilization-based provisioning service is described. According to anexemplary embodiment, the multi-tiered networks and resourceutilization-based provisioning service may be implemented in amulti-tiered MEC network environment that includes multi-tiered MECnetworks that each includes MEC servers that are configurable to hostservices and applications. According to an exemplary implementation, themulti-tiered MEC networks include MEC networks deployed at differentproximities to the network edge. For example, in a three-tiered MECnetwork environment, one tier of the MEC networks may be implemented atthe network's edge (e.g., in the access wireless network or proximate towireless stations (e.g., evolved Node Bs (eNBs), next generation Node Bs(gNBs), femtocell devices, an evolved Long Term Evolution (LTE) (eLTE)eNB, etc.)), another tier may be implemented in an intermediary networkbetween the access network and a core network (e.g., in a backhaulnetwork), and yet another tier may be implemented in the core network(e.g., co-located in the core network or proximate thereto). Accordingto other exemplary implementations, the number of tiered MEC networksmay be different (e.g., fewer or additional). Additionally, oralternatively, according to other exemplary implementations, theproximity to the network edge and/or location within a network for atier of the multi-tiered networks may be different. For example, a tierof the multi-tiered networks may include a network other than a MECnetwork (e.g., an external network upstream from the core network, suchas the Internet, a packet data network, etc.). The multi-tiered MECnetwork may be based on, for example, different latencies between MECtiers, different routing between MEC tiers, and/or different networks(e.g., access, backhaul, core, etc.) to which MEC tiers may beco-located or proximate thereto.

According to an exemplary embodiment, a network device includes logicthat uses an end device service profile of an end device as a basis forselecting a candidate network and/or a candidate server of themulti-tiered MEC networks to provide a service or an application (alsoreferred to simply as an “application service”) to the end device.According to an exemplary implementation, the type of end device (e.g.,mobile versus stationary, etc.), the types of application service towhich the end device is authorized to access and use, and otherattributes of the end device, which may be included in the end deviceservice profile, may be used to identify candidate networks and servers.

According to an exemplary embodiment, the network device calculatesvarious resource utilization factors associated with the provisioning ofthe application service. For example, the resource utilizations factorsmay include resource utilization metrics associated with each candidatelocation (e.g., network resources of candidate network and candidateserver), application service preparation (e.g., migration of content,application, service, etc., if not available at the candidate location),transport resources (e.g., resource utilization metrics associated withend device location and mobility), and other resource utilizationmetrics (e.g., caching, computing, etc.) as described herein.

According to an exemplary embodiment, the network device includes logicthat determines whether a threshold performance metric is satisfied by acandidate network and candidate server. According to an exemplaryimplementation, the threshold performance metric may be latency. Forexample, latency may be a round trip delay. According to other exemplaryimplementations, the threshold performance metric may be another type ofmetric. The threshold performance metric may include one or multipleperformance metrics pertaining to the application service to beprovisioned.

According to an exemplary embodiment, the network device includes logicthat selects a candidate network and server to provision and host theapplication service such that resource utilization metric may beminimized while the threshold performance metric is satisfied. Accordingto some exemplary implementations, the candidate network and server thatyields the least resource utilization while satisfying the thresholdperformance metric may be selected. According to other exemplaryimplementations, the candidate network and server that may not yield theleast resource utilization (e.g., from among other candidatenetworks/servers) while satisfying the threshold performance metric maybe selected, as described herein.

As a result, the multi-tiered networks and resource utilization-basedprovisioning service may improve network resource utilization in anetwork. For example, the provisioning service may select and cause tobe provisioned an application service with minimal network resourceusage along with satisfaction of performance metric requirementsassociated with the application service. Additionally, according to someexemplary scenarios, the use of the end device service profile forselection of a candidate network and network device may allow theprovisioning service to provision an application service in a predictivemanner and minimize latency.

FIG. 1 is a diagram illustrating an exemplary environment 100 in whichan exemplary embodiment of the multi-tiered networks and resourceutilization-based provisioning service may be implemented. Asillustrated, environment 100 includes an access network 105, MECnetworks 115-1 through 115-3 (also referred to collectively as MECnetworks 115, or individually or generally as MEC network 115), abackhaul network 125, a core network 150, and an external network 160.Access network 105 includes access devices 107, MEC networks 115 includeMEC devices 117, backhaul network 125 includes network devices 127, corenetwork 150 includes core devices 155, and external network 160 includesnetwork devices 165. Environment 100 further includes end devices 180(also referred to individually or generally as end device 180).

The number, the type, and the arrangement of network devices inenvironment 100, as illustrated and described, are exemplary. The numberof end devices 180 is also exemplary. A network device, a networkelement, or a network function (referred to herein simply as a networkdevice) may be implemented according to one or multiple networkarchitectures (e.g., a client device, a server device, a peer device, aproxy device, a cloud device, a virtualized function, and/or anothertype of network architecture (e.g., Software Defined Networking (SDN),virtual, logical, network slicing, etc.). Additionally, a network devicemay be implemented according to various computing architectures, such ascentralized, distributed, cloud (e.g., elastic, public, private, etc.),edge, fog, and/or another type of computing architecture.

The number, the type, and the arrangement of networks in environment100, as illustrated and described, are exemplary. According to anexemplary embodiment, as described herein, environment 100 includesmulti-tiered MEC networks (e.g., MEC networks 115).

Environment 100 includes communication links between the networkdevices, and between end device 180 and network devices. Environment 100may be implemented to include wired, optical, and/or wirelesscommunication links among the network devices and the networksillustrated. A communicative connection via a communication link may bedirect or indirect. For example, an indirect communicative connectionmay involve an intermediary device and/or an intermediary network notillustrated in FIG. 1. A direct communicative connection may not involvean intermediary device and/or an intermediary network. The number andthe arrangement of communication links illustrated in environment 100are exemplary.

Environment 100 may include various planes of communication including,for example, a control plane, a user plane, and a network managementplane. Environment 100 may include other types of planes ofcommunication. A message communicated in support of the multi-tierednetworks and resource utilization-based provisioning service may use atleast one of these planes of communication. Additionally, an interfaceof a network device (e.g., an interface defined by a standards body,such as Third Generation Partnership Project (3GPP), InternationalTelecommunication Union (ITU), European Telecommunications StandardsInstitute (ETSI), etc.) may be modified in order to support thecommunication (e.g., transmission and reception of messages, informationelements (IE), attribute value pairs (AVPs), etc.) between networkdevices and the multi-tiered networks and resource utilization-basedprovisioning service, as described herein. According to variousexemplary implementations, the interface may be a service-basedinterface or a reference point-based interface.

Access network 105 may include one or multiple networks of one ormultiple types and technologies. For example, access network 105 mayinclude a Fourth Generation (4G) RAN, a 4.5G RAN, a 5G RAN, and/oranother type of future generation RAN. By way of further example, accessnetwork 105 may be implemented to include an Evolved UMTS TerrestrialRadio Access Network (E-UTRAN) of a Long Term Evolution (LTE) network,an LTE-Advanced (LTE-A) network, and/or an LTE-A Pro network, and a nextgeneration (NG) RAN. Access network 105 may further include other typesof wireless networks, such as a WiFi network, a WorldwideInteroperability for Microwave Access (WiMAX) network, a local areanetwork (LAN), or another type of network that may provide an on-ramp toanother network.

According to various exemplary embodiments, access network 105 may beimplemented to include various architectures of wireless service, suchas, for example, macrocell, microcell, femtocell, picocell, metrocell,NR cell, LTE cell, non-cell, or another type of cell architecture.Additionally, according to various exemplary embodiments, access network105 may be implemented according to various wireless technologies (e.g.,radio access technology (RAT), etc.), wireless standards, wirelessfrequencies/bands, and so forth.

Access network 105 may include different and multiple functionalsplitting, such as options 1, 2, 3, 4, 5, 6, 7, or 8, plane splitting(e.g., user plane, control plane, etc.), centralized unit (CU) anddistributed unit (DU), interface splitting (e.g., F1-U, F1-C, E1, Xn-C,Xn-U, X2-C, Common Public Radio Interface (CPRI), etc.) as well as othertypes of network services, such as dual connectivity (DC) or higher(e.g., a secondary cell group (SCG) split bearer service, a master cellgroup (MCG) split bearer, an SCG bearer service, non-standalone (NSA),standalone (SA), etc.), carrier aggregation (CA), network slicing,coordinated multipoint (CoMP), and/or another type of connectivityservice.

Depending on the implementation, access network 105 may include one ormultiple types of access devices 107. For example, access devices 107may be implemented to include an evolved Node B (eNB), a next generationNode B (gNB), an evolved Long Term Evolution (eLTE) eNB, a radio networkcontroller (RNC), a remote radio head (RRH), a baseband unit (BBU), asmall cell node (e.g., a picocell device, a femtocell device, amicrocell device, a home eNB, a repeater, etc.), or another type ofwireless node (e.g., a WiFi device, a WiMax device, a hot spot device,etc.) that provides a wireless access service.

Edge controller 112 includes a network device that provides themulti-tiered networks and resource utilization-based provisioningservice, as described herein. According to an exemplary embodiment, asillustrated, edge controller 112 may operate as a stand-alone networkdevice. According to other exemplary embodiments, edge controller 112may be implemented as a network device included in access network 105(e.g., as an access device 107) or in MEC network 115 (e.g., a MECdevice 117 of MEC network 115-1, etc.). Edge controller 112 is describedfurther below.

MEC networks 115 include multiple networks of one or multiple networktypes and technologies. MEC networks 115 provide access to services andapplications by end devices 180. According to an exemplary embodiment,MEC networks 115 include a multi-tiered framework in which MEC networksare deployed at different proximities to the network edge (e.g.,relative to end devices 180). For example, MEC network 115-1 may beconsidered one tier, MEC network 115-2 may be considered another tier,and MEC network 115-3 may be considered yet another tier of themulti-tiered network environment. According to an exemplaryimplementation, MEC network 115-1 may be co-located to access devices107 of a particular geographic region within access network 105, MECnetwork 115-2 may be co-located to network devices 127 of backhaulnetwork 125, and MEC network 115-3 may be co-located to core devices 155of core network 150. In view of this architecture, MEC networks 115-1may have a lower latency than MEC network 115-2 and MEC network 115-3,as well as network devices 165. Additionally, MEC network 115-2 may havea lower latency than MEC network 115-3 and network devices 165. MECnetwork 115-3 may have a lower latency than network devices 165.

MEC network 115 may be implemented using one or multiple technologiesincluding, for example, SDN, network function virtualization (NFV),cloud computing, Infrastructure-as-a-Service (IaaS),Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), or anothertype of network technology. Depending on the implementation, MEC network115 may include, for example, virtualized network functions (VNFs),multi-access (MA) applications/services, and/or servers. MEC network 115may also include other network devices that support its operation, suchas, for example, a network function virtualization orchestrator (NFVO),a virtualized infrastructure manager (VIM), an operations support system(OSS), a local domain name server (DNS), a virtual network functionmanager (VNFM), and/or other types of network devices, network resources(e.g., storage devices, communication links, etc.). For purposes ofillustration and description, MEC devices 117 may include the varioustypes of network devices that may be resident in MEC network 115, asdescribed herein.

Backhaul network 125 includes one or multiple networks of one ormultiple types and technologies. According to an exemplaryimplementation, backhaul network 125 includes a backbone network. Forexample, the backbone network may be implemented as an optical transportnetwork, an ultra-high capacity wireless backhaul network, an Ethernetbackhaul network, a dark fiber network, or another suitable architecture(e.g., Internet Protocol (IP)/Multiprotocol Label Switching (MPLS),millimeter wave technology, etc.). Depending on the implementation,backhaul network 125 may include switches, routers, repeaters, varioustypes of optical network elements (e.g., multiplexers, de-multiplexers,switches, transmitters, receivers, etc.), and/or other types of networkdevices. For purposes of illustration and description, network devices127 may include the various types of network devices that may beresident in backhaul network 125, as described herein. Backhaul network125 includes a fronthaul network.

Core network 150 may include one or multiple networks of one or multiplenetwork types and technologies. Core network 150 may include acomplementary network of access network 105. For example, core network150 may be implemented to include an Evolved Packet Core (EPC) of anLTE, an LTE-A network, an LTE-A Pro network, a next generation core(NGC) network, and/or a legacy core network. Depending on theimplementation of core network 150, core network 150 may include variousnetwork devices, such as for example, a mobility management entity(MME), a packet gateway (PGW), a serving gateway (SGW), a homesubscriber server (HSS), an authentication, authorization, andaccounting (AAA) server, a policy and charging rules function (PCRF), acharging system (CS), a user plane function (UPF), an access andmobility management function (AMF), a session management function (SMF),a unified data management (UDM) device, an authentication serverfunction (AUSF), a network slice selection function (NSSF), a networkrepository function (NRF), a policy control function (PCF), and soforth. According to other exemplary implementations, core network 150may include additional, different, and/or fewer network devices thanthose described. For purposes of illustration and description, networkdevices 155 may include various types of network devices that may beresident in core network 150, as described herein.

External network 160 may include one or multiple networks of one ormultiple types and technologies. For example, external network 160 maybe implemented to include a service or an application-layer network, theInternet, the World Wide Web (WWW), an Internet Protocol MultimediaSubsystem (IMS) network, a Rich Communication Service (RCS) network, acloud network, a packet-switched network, a data center, or other typeof network that hosts an end device application or service. For example,the end device application/service network may provide variousapplications or services pertaining to broadband access in dense areas(e.g., pervasive video, smart office, operator cloud services,video/photo sharing, etc.), broadband access everywhere (e.g., 50/100Mbps, ultra low-cost network, etc.), higher user mobility (e.g., highspeed train, remote computing, moving hot spots, etc.), Internet ofThings (IoTs) (e.g., smart wearables, sensors, mobile videosurveillance, etc.), extreme real-time communications (e.g., tactileInternet, etc.), lifeline communications (e.g., natural disaster, etc.),ultra-reliable communications (e.g., automated traffic control anddriving, collaborative robots, health-related services (e.g.,monitoring, remote surgery, etc.), drone delivery, public safety, etc.),and/or broadcast-like services.

Depending on the implementation, external network 160 may includevarious network devices that provide various applications, services, orother type of end device assets, such as servers (e.g., web,application, cloud, etc.), mass storage devices, data center devices,and/or other types of network devices pertaining to variousnetwork-related functions. For purposes of illustration and description,network devices 165 may include various types of network devices thatmay be resident in external network 160, as described herein.

End device 180 may be implemented as a mobile device, a portable device,a stationary device, a device operated by a user, or a device notoperated by a user. For example, end device 180 may be implemented as aMobile Broadband device, a smartphone, a computer, a tablet, a netbook,a phablet, a wearable device, a vehicle support system, a game system, adrone, an Internet of Things (IoT) device, an enhanced MTC device (eMTC)(also known as Cat-M1), a NarrowBand IoT (NB-IoT) device, or some othertype of wireless device (e.g., a set top box, a smart television, amusic playing device, etc.). According to various exemplary embodiments,end device 180 may be configured to execute various types of software(e.g., applications, programs, etc.). The number and the types ofsoftware may vary among end devices 180. End device 180 may support oneor multiple RATs (e.g., 4G, 5G, etc.), one or multiple frequency bands,network slicing, DC service, and so forth. Additionally, end device 180may include one or multiple communication interfaces that provide one ormultiple (e.g., simultaneous or non-simultaneous) connections via thesame or different RATs, frequency bands, etc.

FIGS. 2A-2H are diagrams illustrating an exemplary process of anexemplary embodiment of the multi-tiered networks and resourceutilization-based provisioning service. Referring to FIG. 2A, anenvironment 200, which is consistent with environment 100, isillustrated.

According to an exemplary scenario, assume that end device 180, accessnetwork 105, and core network 150 perform an attachment procedure 205.As illustrated, during the performance of the attachment procedure,various types of attachment messaging 207 may be exchanged between enddevice 180 and the network. According to an exemplary embodiment, duringthe attachment procedure, core devices 155 may transmit a device serviceprofile 209 of end device 180 to end controller 112. For example, inrelation to an LTE network, core device 155 (e.g., an MME or an HSS) maytransmit the device service profile to edge controller. According tothis scenario, a device service profile 210 may propagate to edgecontroller 112 without traversing access network 105. According to otherexemplary embodiments, although not illustrated, core device 155 maytransmit the device service profile to edge controller 112 via accessnetwork 105 and/or MEC network 115-1. According to other exemplaryembodiments, core device 155 may transmit the device service profile toedge controller 112 subsequent to completion of the attachmentprocedure. According to yet other exemplary embodiments, end device 180may transmit the device service profile to edge controller 112. Forexample, end device 180 may store the device service profile.

According to various exemplary embodiments, device service profile 210includes information indicating attributes of end device 180 andsubscription information. For example, device service profile 210 mayindicate a type of end device (e.g., an IoT device, a user device, acategory of end device, a class of end device, etc.), whether the enddevice is a mobile device or a stationary device, and/or other types ofinformation that indicates a characteristic of end device 180.Subscription information may indicate a type, a level, and/or a tier ofwireless access/use, control parameters and values relating to qualityof service, such as a Maximum Bit Rate (MBR), a Guaranteed Flow Bit Rate(GFBR), a Maximum Flow Bit Rate (MFBR), a Maximum Packet Loss Rate(MPLR), and/or other types of control parameters and values (e.g.,packet error rate (PER), Allocation and Retention Priority (ARP), etc.),wireless service access or use restrictions (e.g., data limits,restrictions on time of access, duration of wireless service usage, dualconnectivity, access and use of a MEC network, access and use of anapplication or a service, etc.), application service access orrestrictions/usage, and/or other types of information pertaining to aservice (e.g., wireless service, an application service, a MEC service,etc.).

As further illustrated in FIG. 2A, edge controller 112 receives thedevice service profile 213. Referring to FIG. 2B, in response toobtaining the device service profile, edge controller 112 may determinerouting authorization available to end device 180 based on the deviceservice profile 215. For example, an IoT device may not be permitted toaccess and use a far-edged MEC network (e.g., MEC network 115-1) basedon the type of end device, the types of application services used by theIoT device, the tier of subscription pertaining to end device 180,and/or other information included in the device service profile.According to another example, a user device may be permitted to accessand use any MEC network (e.g., MEC networks 115-1 through 115-3), andperhaps has a priority to access MEC network 115-1 due to the tier ofsubscription, the types of application services used by the user deviceand/or other information included in the device service profile. In thisregard, edge controller 112 may determine which network(s) of themulti-tiered networks that end device 180 potentially may access and usebased on the device service profile.

Referring to FIG. 2C, edge controller 112 may select a candidateapplication service that end device 180 may access and use based on thedevice service profile 220. For example, the device service profile mayindicate one or multiple application services that end device 180 mayaccess and use. According to some exemplary implementations, the deviceservice profile may include historical information relating to previousattachments and applications or services used. According to otherexemplary implementations, end device 180 may be limited to access anduse a set of applications or services based on its subscription.According to still other examples, edge controller 112 may select thecandidate application service in response to receiving a request for theapplication service from end device 180.

Referring to FIG. 2D, edge controller 112 may select a candidatelocation to host the candidate service based candidate host networkinformation 225. According to an exemplary embodiment, edge controller112 may store a database or another type of data repository or datastructure that stores information that allows edge controller 112 todetermine which, if any, network of the multi-tiered networks, may hostthe candidate service. According to another exemplary embodiment,although not illustrated, the candidate host network information may bestored by another network device. An exemplary embodiment of candidatehost network information is described further below.

FIG. 3 is a diagram illustrating exemplary candidate host networkinformation that may be stored in a table 300. As illustrated, table 300may include a host network device field 305, a resource utilizationfield 310, and a service requirement field 315. As further illustrated,table 300 includes network fields 301-1 through 301-X (also referred toas network fields 301, or individually or generally as network field301) that each includes a grouping of fields 305, 310, and 315.Candidate host network information is illustrated in tabular form merelyfor the sake of description. In this regard, candidate host networkinformation may be implemented in a data structure different from atable.

Network field 301 may store data that indicates a network. For example,as illustrated, network fields 1 through X may indicate a network 1through a network X. According to other examples, network field 301 maystore another type of unique network identifier. According to someexemplary embodiments, network fields 301 may indicate only MEC networks(e.g., MEC network 115-1 through 115-3 or some other number of MECnetworks) of the multi-tiered network environment. According to otherexemplary embodiments, network fields 301 may indicate MEC networks andother types of networks (e.g., external network 160).

Host network device field 305 may store data that indicates informationpertaining to network devices included in the network identified innetwork field 301. For example, host network device field 305 mayindicate an application service that may be provisioned or hosted on anetwork device. Host network device field 305 may store data indicatinga network address (e.g., an Internet Protocol (IP) address, etc.) of thenetwork device and/or a unique identifier of the network device. Hostnetwork device field 305 may store other types of data pertaining to thenetwork device, such as configuration information relating to protocolssupported by the network device, types of end devices that the networkdevice is configured to serve, and/or other information relating to thecapabilities of the network device.

Resource utilization field 310 may store data indicating resourceutilization metrics associated with provisioning the application serviceby a network and network device. According to an exemplary embodiment,the provisioning of the application service may include resourceutilization metrics pertaining to preparation of the application serviceto the candidate network/network device when the application service isnot available. For example, the resource utilization metric may relateto the preparation to provision, and may include obtaining content froma location remote from the network, network resources to use to spin upa virtual function, and/or another type of preparatory resourceutilization that may be needed. According to an exemplary embodiment,the provisioning of the application service may include resourceutilization metrics associated with the actual providing of theapplication service. For example, resource utilization field 310 mayindicate a utilization value pertaining to a network resource (e.g.,physical, virtual, logical) of the network device, a communication link,or both, that is used during an application service session. Accordingto another exemplary embodiment, the provisioning of the applicationservice may include resource utilization factors associated withmigration of the application service to another network and networkdevice. For example, when end device 180 is a mobile device, theprovisioning of the application service may migrate from one network toanother network due to the mobility and change in location of end device180. By way of one example, content and/or context information may needto be copied between two MEC networks 115. Resource utilization field310 may store network resource utilization parameters and valuesassociated with the tracking of end device 180 and the migration of theapplication service, computational and caching resource utilizations,resource utilizations associated with communication links, intermediarydevices (e.g., routers, etc.) and so forth.

According to an exemplary embodiment, although not illustrated, resourceutilization field 310 may be updated, by a network device, with resourceutilization parameter and values stored by resource utilization field310. For example, the network device may monitor congestion levels,available network resources, etc., of a network and network device ofthe multi-tiered network environment. Based on the monitoring andanalysis, a resource utilization value may be updated (e.g., inreal-time). According to another exemplary embodiment, a resourceutilization parameter and value may be relatively static and may notrequire updating.

Service requirement field 315 may store data indicating a performancemetric and value stemming from the provisioning of the applicationservice by the network and network device. According to an exemplaryembodiment, the performance metric and value include latency. Forexample, MEC devices 117 of MEC networks 115-1 may yield a lower latencythan MEC devices 117 of MEC network 115-2; MEC devices 117 of MECnetwork 115-2 may yield a lower latency than MEC devices 117 of MECnetwork 113; and MEC devices 117 of MEC network 115-3 may yield a lowerlatency than network devices 165 of external network 160. According tosome implementations, different host network devices (e.g., MEC devices117) within the same network (e.g., MEC network 115-1, etc.) may yielddifferent latencies based on various factors, such as routing within theMEC network or another reason. According to another exemplaryembodiment, the performance metric and value may not include latency.For example, the performance metric may relate to packet loss,throughput, and/or another type of network performance metric.

According to other exemplary implementations, table 300 may storeadditional, fewer, and/or different instances of candidate host networkinformation in support of the multi-tiered networks and resourceutilization-based provisioning service, as described herein.

As previously described, referring back to FIG. 2D, edge controller 112may select one or multiple candidate locations (e.g., network(s) andhost network device (s)) to host the candidate service based on thecandidate host network information 225. For example, edge controller 112may identify a network and host network device that may be used toprovision the candidate service based on network field 301 and hostnetwork device 305.

Referring to FIG. 2E, edge controller 112 may calculate a total resourceutilization value for the candidate location 230. For example, edgecontroller 112 may calculate a total resource utilization value for thecandidate location based on resource utilization field 310. Edgecontroller 112 may calculate the total resource utilization value basedon other information (e.g., device service profile, etc.). For example,the total resource utilization value associated with the provisioning ofapplication service A to end device 180 that is a mobile device may bedifferent from the provisioning of application service A to end device180 that is a stationary device.

Referring to FIG. 2F, edge controller 112 may determine whether aperformance metric requirement satisfies a threshold service requirement235. For example, edge controller 112 may compare a performance metricparameter and value stored in service requirement field 315 with thethreshold service requirement. The threshold service requirement may beimplemented as an administratively configured minimum servicerequirement parameter and value pertaining to the candidate service. Forexample, an extreme real-time application communication service may needto satisfy a threshold level of latency and/or another type ofperformance metric/value. Referring to FIG. 1, for example, MEC networks115-1 may be a tier of the multi-tier network environment that cansatisfy such a latency requirement by virtue of their proximity to thenetwork edge compared to MEC networks 115-2 and 115-3, and networkdevices 165 of external network 160, as previously described.

According to an exemplary embodiment, edge controller 112 may considerthe total resource utilization value of a candidate location and thewhether the performance metric requirement of the candidate locationsatisfies the threshold service requirement. For example, edgecontroller 112 may filter one or multiple candidate locations based onthe following exemplary expression:S _(j)=min{C _(i) , i−1 . . . N}, while P _(i) <P _(T)  (1),in which S_(j) indicates an application service; C_(i) indicates a totalresource utilization value associated with the candidate location; P_(i)indicates a performance metric and value associated with the candidatelocation; and P_(T) indicates a threshold performance metric and value.

Referring to FIG. 2G, edge controller 112 may select a candidatelocation to host the candidate service. According to an exemplaryembodiment, edge controller 112 may select a candidate location that hasthe least total resource utilization value (e.g., relative to othercandidate location(s)) and satisfies the threshold service requirement.According to other exemplary embodiments, edge controller 112 may notselect the candidate location that has the least total resourceutilization value and satisfies the threshold service requirement. Forexample, based on the device service profile, edge controller 112 mayselect a candidate location that has a greater total resourceutilization value than another candidate location because of the tier ofsubscription associated with end device 180. For example, MEC device 117of MEC network 115-1 may have a greater total resource utilization valuecompared to MEC device 117 of MEC network 115-2, but edge controller 112selects MEC device 117 of MEC network 115-1 because end device 180 hasthe highest tier of wireless access service. According to otherexamples, edge controller 112 may not select the candidate location thathas the least total resource utilization value and satisfies thethreshold service requirement because of other types of information. Forexample, network state information (e.g., congestion levels, etc.)relating to access network 105 and/or core network 105 may be consideredthat would cause edge controller 112 to make such a determination.

Referring to FIG. 2H, edge controller 112 may invoke the provisioning ofthe candidate service at the selected candidate location 250. Forexample, edge controller 112 may transmit a provisioning message 255 toone of the MEC networks 115 (e.g., MEC network 115-1, MEC network 115-2,or MEC network 115-3). Provisioning message 255 may indicate theapplication service to be provisioned. Provisioning message 255 mayinclude other types of information (e.g., device service profile of enddevice 180). MEC network 115 may receive the provisioning message, andpartially, or fully provision the application service. Depending on theexemplary scenario, MEC network 115 may provision a server to host theapplication service, provision core network functions, obtain content,etc.

Although FIGS. 2A-2H illustrate an exemplary process of the cellselection management service, according to other exemplary embodiments,the process may include additional, different, and/or fewer steps,and/or include additional, different, and/or fewer messages.

FIG. 4 is a diagram illustrating exemplary components of a device 400that may be included in one or more of the devices described herein. Forexample, device 400 may correspond to components included in edgecontroller 112, access devices 107 of access network 105, MEC devices117 of MEC networks 115, network devices 127 of backhaul network 125,core devices 155 of core network 150, network devices 165 of externalnetwork 160, and end device 180. As illustrated in FIG. 4, device 400includes a bus 405, a processor 410, a memory/storage 415 that storessoftware 420, a communication interface 425, an input 430, and an output435. According to other embodiments, device 400 may include fewercomponents, additional components, different components, and/or adifferent arrangement of components than those illustrated in FIG. 4 anddescribed herein.

Bus 405 includes a path that permits communication among the componentsof device 400. For example, bus 405 may include a system bus, an addressbus, a data bus, and/or a control bus. Bus 405 may also include busdrivers, bus arbiters, bus interfaces, clocks, and so forth.

Processor 410 includes one or multiple processors, microprocessors, dataprocessors, co-processors, application specific integrated circuits(ASICs), controllers, programmable logic devices, chipsets,field-programmable gate arrays (FPGAs), application specificinstruction-set processors (ASIPs), system-on-chips (SoCs), centralprocessing units (CPUs) (e.g., one or multiple cores), microcontrollers,and/or some other type of component that interprets and/or executesinstructions and/or data. Processor 410 may be implemented as hardware(e.g., a microprocessor, etc.), a combination of hardware and software(e.g., a SoC, an ASIC, etc.), may include one or multiple memories(e.g., cache, etc.), etc.

Processor 410 may control the overall operation or a portion ofoperation(s) performed by device 400. Processor 410 may perform one ormultiple operations based on an operating system and/or variousapplications or computer programs (e.g., software 420). Processor 410may access instructions from memory/storage 415, from other componentsof device 400, and/or from a source external to device 400 (e.g., anetwork, another device, etc.). Processor 410 may perform an operationand/or a process based on various techniques including, for example,multithreading, parallel processing, pipelining, interleaving, etc.

Memory/storage 415 includes one or multiple memories and/or one ormultiple other types of storage mediums. For example, memory/storage 415may include one or multiple types of memories, such as, a random accessmemory (RAM), a dynamic random access memory (DRAM), a static randomaccess memory (SRAM), a cache, a read only memory (ROM), a programmableread only memory (PROM), an erasable PROM (EPROM), an electrically EPROM(EEPROM), a single in-line memory module (SIMM), a dual in-line memorymodule (DIMM), a flash memory (e.g., 2D, 3D, NOR, NAND, etc.), a solidstate memory, and/or some other type of memory. Memory/storage 415 mayinclude a hard disk (e.g., a magnetic disk, an optical disk, amagneto-optic disk, a solid state disk, etc.), a Micro-ElectromechanicalSystem (MEMS)-based storage medium, and/or a nanotechnology-basedstorage medium. Memory/storage 415 may include drives for reading fromand writing to the storage medium.

Memory/storage 415 may be external to and/or removable from device 400,such as, for example, a Universal Serial Bus (USB) memory stick, adongle, a hard disk, mass storage, off-line storage, or some other typeof storing medium (e.g., a compact disk (CD), a digital versatile disk(DVD), a Blu-Ray disk (BD), etc.). Memory/storage 415 may store data,software, and/or instructions related to the operation of device 400.

Software 420 includes an application or a program that provides afunction and/or a process. As an example, with respect to edgecontroller 112, software 420 may include an application that, whenexecuted by processor 410, provides a function of the multi-tierednetworks and resource utilization-based provisioning service, asdescribed herein. Additionally, with reference to MEC devices 117, coredevices 155, or another network device, software 420 may include anapplication that, when executed by processor 410, provides a function ofthe multi-tiered networks and resource utilization-based provisioningservice, as described herein. Software 420 may also include firmware,middleware, microcode, hardware description language (HDL), and/or otherform of instruction. Software 420 may also be virtualized. Software 420may further include an operating system (OS) (e.g., Windows, Linux,Android, proprietary, etc.).

Communication interface 425 permits device 400 to communicate with otherdevices, networks, systems, and/or the like. Communication interface 425includes one or multiple wireless interfaces and/or wired interfaces.For example, communication interface 425 may include one or multipletransmitters and receivers, or transceivers. Communication interface 425may operate according to a protocol stack and a communication standard.Communication interface 425 may include an antenna. Communicationinterface 425 may include various processing logic or circuitry (e.g.,multiplexing/de-multiplexing, filtering, amplifying, converting, errorcorrection, application programming interface (API), etc.).Communication interface 425 may be implemented as a point-to-pointinterface, a service based interface, etc.

Input 430 permits an input into device 400. For example, input 430 mayinclude a keyboard, a mouse, a display, a touchscreen, a touchlessscreen, a button, a switch, an input port, speech recognition logic,and/or some other type of visual, auditory, tactile, etc., inputcomponent. Output 435 permits an output from device 400. For example,output 435 may include a speaker, a display, a touchscreen, a touchlessscreen, a light, an output port, and/or some other type of visual,auditory, tactile, etc., output component.

As previously described, a network device may be implemented accordingto various computing architectures (e.g., in a cloud, etc.) andaccording to various network architectures (e.g., a virtualizedfunction, etc.). Device 400 may be implemented in the same manner. Forexample, device 400 may be instantiated, spun up, spun down, etc., usingwell-known virtualization techniques in a public/private cloud or othertype of network.

Device 400 may perform a process and/or a function, as described herein,in response to processor 410 executing software 420 stored bymemory/storage 415. By way of example, instructions may be read intomemory/storage 415 from another memory/storage 415 (not shown) or readfrom another device (not shown) via communication interface 425. Theinstructions stored by memory/storage 415 cause processor 410 to performa process described herein. Alternatively, for example, according toother implementations, device 400 performs a process described hereinbased on the execution of hardware (processor 410, etc.).

FIG. 5 is a flow diagram illustrating an exemplary process 500 of anexemplary embodiment of the multi-tiered networks and resourceutilization-based provisioning service. According to an exemplaryembodiment, edge controller 112 performs steps of process 500. Forexample, processor 410 executes software 420 to perform a stepillustrated in FIG. 5 and described herein. Additionally, oralternatively, a step illustrated in FIG. 5 may be performed byexecution of only hardware.

In block 505, a device service profile of an end device may be obtained.For example, edge controller 112 may obtain the device service profileduring an attachment procedure or subsequent thereto (e.g., in responseto an application service request from end device 180). In block 510, arouting authorization for the end device may be determined based on thedevice service profile. For example, edge controller 112 may determinewhich networks of the multi-tiered networks may be accessed and used foran application service by end device 180. In block 515, a candidateservice may be selected based on the device service profile.

In block 520, a candidate location may be selected based on thecandidate service and candidate host network information. For example,edge controller 112 may use network host information to select candidatelocations. In block 525, a total resource utilization value for thecandidate location to host the candidate service may be calculated. Forexample, edge controller may calculate a total resource utilizationvalue for provisioning the application service at the candidatelocation. In block 530, it is determined whether a service requirementis satisfied. For example, edge controller 112 may determine whether aperformance metric and value pertaining to the candidate locationsatisfies a threshold performance metric and value. When it isdetermined that the service requirement is not met (block 530—NO), itmay be determined whether another candidate location is to be considered(block 535). For example, edge controller 112 may determine whetheranother candidate location is available to host the candidateapplication service based on the network host information. When it isdetermined that another candidate location may be considered (block535—YES), process 500 may continue to block 520. When it is determinedthat another candidate location may not be considered (block 535—NO), itmay be determined whether another candidate service may be considered(block 540). For example, edge controller 112 may select one of thecandidate locations to host the candidate service. Additionally, edgecontroller 112 may determine whether another candidate service should beanalyzed based on the device service profile of end device, or based onan application service request received from end device 180.

When it is determined that another candidate service may be considered(block 540—YES), process 500 may continue to block 515. When it isdetermined that another candidate service may not be considered (block540—NO), process 500 may end.

When it is determined that the service requirement is met (block530—YES), the candidate service may be configured at the candidatelocation (block 545). For example, edge controller 112 may select thecandidate location that satisfies the service requirement and has theleast total resource utilization value, or another candidate location(e.g., which may not have the least total resource utilization value),as previously described. Edge controller 112 may invoke a provisioningof the candidate service at the selected location. For example, edgecontroller 112 may transmit a provisioning message to the selectedlocation (e.g., MEC network). Process 500 may continue to block 540.

Although FIG. 5 illustrates an exemplary process 500 of the multi-tierednetworks and resource utilization-based provisioning service, accordingto other embodiments, process 500 may include additional operations,fewer operations, and/or different operations than those illustrated inFIG. 5, and described herein. For example, in reference to block530—YES, when it is determined that the service requirement issatisfied, edge controller 112 may continue to block 535. In thisregard, edge controller 112 may cycle through each candidate location,store each total resource utilization value and service requirementassociated therewith, and select the optimal candidate location.Thereafter, edge controller 112 may continue to block 545.

As set forth in this description and illustrated by the drawings,reference is made to “an exemplary embodiment,” “an embodiment,”“embodiments,” etc., which may include a particular feature, structureor characteristic in connection with an embodiment(s). However, the useof the phrase or term “an embodiment,” “embodiments,” etc., in variousplaces in the specification does not necessarily refer to allembodiments described, nor does it necessarily refer to the sameembodiment, nor are separate or alternative embodiments necessarilymutually exclusive of other embodiment(s). The same applies to the term“implementation,” “implementations,” etc.

The foregoing description of embodiments provides illustration, but isnot intended to be exhaustive or to limit the embodiments to the preciseform disclosed. Accordingly, modifications to the embodiments describedherein may be possible. For example, various modifications and changesmay be made thereto, and additional embodiments may be implemented,without departing from the broader scope of the invention as set forthin the claims that follow. The description and drawings are accordinglyto be regarded as illustrative rather than restrictive.

The terms “a,” “an,” and “the” are intended to be interpreted to includeone or more items. Further, the phrase “based on” is intended to beinterpreted as “based, at least in part, on,” unless explicitly statedotherwise. The term “and/or” is intended to be interpreted to includeany and all combinations of one or more of the associated items. Theword “exemplary” is used herein to mean “serving as an example.” Anyembodiment or implementation described as “exemplary” is not necessarilyto be construed as preferred or advantageous over other embodiments orimplementations.

In addition, while a series of blocks has been described with regard toprocesses illustrated in FIG. 5, the order of the blocks may be modifiedaccording to other embodiments. Further, non-dependent blocks may beperformed in parallel. Additionally, other processes described in thisdescription may be modified and/or non-dependent operations may beperformed in parallel.

Embodiments described herein may be implemented in many different formsof software executed by hardware. For example, a process or a functionmay be implemented as “logic,” a “component,” or an “element.” Thelogic, the component, or the element, may include, for example, hardware(e.g., processor 410, etc.), or a combination of hardware and software(e.g., software 420).

Embodiments have been described without reference to the specificsoftware code because the software code can be designed to implement theembodiments based on the description herein and commercially availablesoftware design environments and/or languages. For example, varioustypes of programming languages including, for example, a compiledlanguage, an interpreted language, a declarative language, or aprocedural language may be implemented.

Use of ordinal terms such as “first,” “second,” “third,” etc., in theclaims to modify a claim element does not by itself connote anypriority, precedence, or order of one claim element over another, thetemporal order in which acts of a method are performed, the temporalorder in which instructions executed by a device are performed, etc.,but are used merely as labels to distinguish one claim element having acertain name from another element having a same name (but for use of theordinal term) to distinguish the claim elements.

Additionally, embodiments described herein may be implemented as anon-transitory computer-readable storage medium that stores data and/orinformation, such as instructions, program code, a data structure, aprogram module, an application, a script, or other known or conventionalform suitable for use in a computing environment. The program code,instructions, application, etc., is readable and executable by aprocessor (e.g., processor 410) of a device. A non-transitory storagemedium includes one or more of the storage mediums described in relationto memory/storage 415.

To the extent the aforementioned embodiments collect, store or employpersonal information of individuals, it should be understood that suchinformation shall be collected, stored, and used in accordance with allapplicable laws concerning protection of personal information.Additionally, the collection, storage and use of such information can besubject to consent of the individual to such activity, for example,through well known “opt-in” or “opt-out” processes as can be appropriatefor the situation and type of information. Collection, storage, and useof personal information can be in an appropriately secure mannerreflective of the type of information, for example, through variousencryption and anonymization techniques for particularly sensitiveinformation.

No element, act, or instruction set forth in this description should beconstrued as critical or essential to the embodiments described hereinunless explicitly indicated as such.

All structural and functional equivalents to the elements of the variousaspects set forth in this disclosure that are known or later come to beknown to those of ordinary skill in the art are expressly incorporatedherein by reference and are intended to be encompassed by the claims. Noclaim element of a claim is to be interpreted under 35 U.S.C. § 112(f)unless the claim element expressly includes the phrase “means for” or“step for.”

What is claimed is:
 1. A method comprising: receiving, by a networkdevice of a multi-tiered mobile edge computing network, a device serviceprofile pertaining to an end device, wherein the multi-tiered mobileedge computing network comprises multiple mobile edge computing networksthat are multi-tiered based on different latencies and differentdistances from a network edge; determining, by the network device inresponse to the receiving, a routing authorization for the end devicebased on the device service profile, wherein the routing authorizationindicates which of the mobile edge computing networks of themulti-tiered mobile edge computing network the end device is authorizedto access; selecting, by the network device, a candidate applicationservice of the end device based on the device service profile;selecting, by the network device, one or multiple candidate locations ofthe multi-tiered mobile edge computing network to host the candidateapplication service based on the routing authorization; calculating, bythe network device, a total resource utilization associated with aprovisioning of the candidate application service at each of the one ormultiple candidate locations; determining, by the network device, whichof the one or multiple candidate locations satisfy a thresholdperformance metric value pertaining to the candidate applicationservice; selecting, by the network device in response to the determiningwhich, one of the one or multiple candidate locations to provision thecandidate application service; and causing, by the network device, theone of the one or multiple candidate locations to provision thecandidate application service.
 2. The method of claim 1, wherein thecalculating further comprises: calculating, by the network device, thetotal resource utilization associated with the provisioning of thecandidate application service at each of the one or multiple candidatelocations based on the device service profile.
 3. The method of claim 1,wherein the one of the one or multiple candidate locations has a leasttotal resource utilization relative to any other of the one or multiplecandidate locations.
 4. The method of claim 1, wherein determining whichof the one or multiple candidate locations satisfy the thresholdperformance metric comprises: comparing, by the network device, thethreshold performance metric value to a performance metric valueassociated each of the one or multiple candidate locations; anddetermining, by the network device in response to the comparing, whichof the one or multiple candidate locations satisfy the thresholdperformance metric value.
 5. The method of claim 1, wherein thethreshold performance metric value includes a threshold latency value,and wherein the total resource utilization includes resource utilizationassociated with network resources used for content preparation,transportation associated with the end device location and mobility, andcaching and computing related to the candidate application service. 6.The method of claim 1, further comprising: storing, by the networkdevice, information indicating candidate application services that canbe provisioned for each of the one or multiple candidate locations,resource utilization associated with each of the candidate applicationservices, and a performance metric value associated with each of thecandidate application services; and using, by the network device, theinformation for selecting the one or multiple candidate locations, forcalculating the total resource utilization, and for determining which ofthe one or multiple candidate locations satisfy the thresholdperformance metric value.
 7. The method of claim 1, wherein determiningwhich of the one or multiple candidate locations satisfy the thresholdperformance metric value further comprises: determining, by the networkdevice, which of the one or multiple candidate locations satisfy thethreshold performance metric value for multiple candidate host devicesof each mobile edge computing network.
 8. The method of claim 1, whereinthe receiving comprises: receiving, by the network device, the deviceservice profile during an attachment procedure between the end deviceand an access network and a core network of the multi-tiered mobile edgecomputing network, wherein the network device resides in one of multiplemobile edge computing networks of the multi-tiered mobile edge computingnetwork.
 9. A network device of a multi-tiered mobile edge computingnetwork comprising: a communication interface; a memory, wherein thememory stores instructions; and a processor, wherein the processorexecutes the instructions to: receive, via the communication interface,a device service profile pertaining to an end device, wherein themulti-tiered mobile edge computing network comprises multiple mobileedge computing networks that are multi-tiered based on differentlatencies and different distances from a network edge; determine, inresponse to the receipt of the device service profile, a routingauthorization for the end device based on the device service profile,wherein the routing authorization indicates which of the mobile edgecomputing networks of the multi-tiered mobile edge computing network theend device is authorized to access; select a candidate applicationservice of the end device based on the device service profile; selectone or multiple candidate locations of the multi-tiered mobile edgecomputing network to host the candidate application service based on therouting authorization; calculate a total resource utilization associatedwith a provisioning of the candidate application service at each of theone or multiple candidate locations; determine which of the one ormultiple candidate locations satisfy a threshold performance metricvalue pertaining to the candidate application service; select inresponse to the determination which, one of the one or multiplecandidate locations to provision the candidate application service; andcause the one of the one or multiple candidate locations to provisionthe candidate application service.
 10. The network device of claim 9,wherein, when calculating, the processor further executes theinstructions to: calculate the total resource utilization associatedwith the provisioning of the candidate application service at each ofthe one or multiple candidate locations based on the device serviceprofile.
 11. The network device of claim 9, wherein the one of the oneor multiple candidate locations has a least total resource utilizationrelative to any other of the one or multiple candidate locations. 12.The network device of claim 9, wherein, when determining which of theone or multiple candidate locations satisfy the threshold performancemetric, the processor further executes the instructions to: compare thethreshold performance metric value to a performance metric valueassociated each of the one or multiple candidate locations; anddetermine, in response to the comparison, which of the one or multiplecandidate locations satisfy the threshold performance metric value. 13.The network device of claim 9, wherein the threshold performance metricvalue includes a threshold latency value, and wherein the total resourceutilization includes resource utilization associated with networkresources used for content preparation, transportation associated withthe end device location and mobility, and caching and computing relatedto the candidate application service.
 14. The network device of claim 9,wherein the processor further executes the instructions to: storeinformation indicating candidate application services that can beprovisioned for each of the one or multiple candidate locations,resource utilization associated with each of the candidate applicationservices, and a performance metric value associated with each of thecandidate application services; and use the information for selectingthe one or multiple candidate locations, for calculating the totalresource utilization, and for determining which of the one or multiplecandidate locations satisfy the threshold performance metric value. 15.The network device of claim 9, wherein, when determining which of theone or multiple candidate locations satisfy the threshold performancemetric value, the processor further executes the instructions to:determine which of the one or multiple candidate locations satisfy thethreshold performance metric value for multiple candidate host devicesof each mobile edge computing network.
 16. The network device of claim 9wherein, when receiving, the processor further executes the instructionsto: receive, via the communication interface, the device service profileduring an attachment procedure between the end device and an accessnetwork and a core network of the multi-tiered mobile edge computingnetwork, wherein the network device resides in one of multiple mobileedge computing networks of the multi-tiered mobile edge computingnetwork.
 17. A non-transitory computer-readable storage medium storinginstructions executable by a processor of a network device of amulti-tiered mobile edge computing network, which when executed causethe network device to: receive a device service profile pertaining to anend device, wherein the multi-tiered mobile edge computing networkcomprises multiple mobile edge computing networks that are multi-tieredbased on different latencies and different distances from a networkedge; determine, in response to the receipt of the device serviceprofile, a routing authorization for the end device based on the deviceservice profile, wherein the routing authorization indicates which ofthe mobile edge computing networks of the multi-tiered mobile edgecomputing network the end device is authorized to access; select acandidate application service of the end device based on the deviceservice profile; select one or multiple candidate locations of themulti-tiered mobile edge computing network to host the candidateapplication service based on the routing authorization; calculate atotal resource utilization associated with a provisioning of thecandidate application service at each of the one or multiple candidatelocations; determine which of the one or multiple candidate locationssatisfy a threshold performance metric value pertaining to the candidateapplication service; select in response to the determination which, oneof the one or multiple candidate locations to provision the candidateapplication service; and cause the one of the one or multiple candidatelocations to provision the candidate application service.
 18. Thenon-transitory computer-readable storage medium of claim 17, wherein theinstructions to calculate further comprise instructions, which whenexecuted cause the network device to: calculate the total resourceutilization associated with the provisioning of the candidateapplication service at each of the one or multiple candidate locationsbased on the device service profile.
 19. The non-transitorycomputer-readable storage medium of claim 17, wherein the instructionsfurther comprise instructions, which when executed cause the networkdevice to: store information indicating candidate application servicesthat can be provisioned for each of the one or multiple candidatelocations, resource utilization associated with each of the candidateapplication services, and a performance metric value associated witheach of the candidate application services; and use the information forselecting the one or multiple candidate locations, for calculating thetotal resource utilization, and for determining which of the one ormultiple candidate locations satisfy the threshold performance metricvalue.
 20. The non-transitory computer-readable storage medium of claim17, wherein the threshold performance metric value includes a thresholdlatency value.